Introduction

This paper presents a new invariant local descriptor, contrast context histogram (CCH), for object recognition. It represents the contrast distributions of a local region, and serves as a local distinctive descriptor of this region. Object recognition can be considered as matching salient corners with similar contrast context histogram descriptors on two or more images. Our experimental results show that CCH is insensitive to image scales, rotations, viewing directions, and illumination variations. Moreover, the computation of CCH is efficient and potentially suitable for real-time applications.

Copyrights

This software for the detection of contrast context histogram features is available for personal research usage only. Any commercial use or any redistribution of this software requires a license from the Academia Sinica. This license file must be retained with all copies of the software, including any modified or derivative versions. For further details on obtaining a commercial license, please contact Chun-Rong Huang ( nckuos@iis.sinica.edu.tw ) or the Multimedia Lab of the Institute of Information Science , Academia Sinica. Copyright (2007), ACADEMIA SINICA. THE ACADEMIA SINICA AND THE AUTHORS MAKE NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THIS SOFTWARE.

This software also uses the FreeImage open source image library. See http://freeimage.sourceforge.net for details. FreeImage is used under the (GNU GPL or FIPL).